{"id":"W1972893030","doi":"10.1109/crv.2010.49","title":"Automated Place Classification Using Object Detection","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence; Object detection; Object (grammar); Computer vision; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001553072,0.00007255555,0.00006143203,0.00008254129,0.0001065629,0.0000986211,0.0002769421,0.00006602126,0.0000111017],"category_scores_gemma":[0.00007503875,0.00006363277,0.00002601465,0.0003785375,0.00002263205,0.0008028795,0.00006437995,0.0001500573,0.00002500588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002730225,"about_ca_system_score_gemma":0.00003132565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000239884,"about_ca_topic_score_gemma":0.00001748134,"domain_scores_codex":[0.9993967,0.00001956837,0.0001179061,0.0002163021,0.000116808,0.0001327393],"domain_scores_gemma":[0.9994279,0.00003423855,0.00005776849,0.0003578496,0.00008195973,0.00004025501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001831118,0.00001119077,0.0000536921,0.000001876204,0.000001453246,0.000001091829,0.00002289099,0.000005419771,0.9174907,0.00379335,0.00007718659,0.0785393],"study_design_scores_gemma":[0.00004204494,0.00001891978,0.001105326,0.000001810986,0.000001065041,0.00001822328,0.000003354455,0.4813656,0.515107,0.0008697078,0.001400171,0.00006682458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05256537,0.000005329707,0.9420894,0.00006783032,0.0002252203,0.00009814743,1.768998e-7,0.00303845,0.001910062],"genre_scores_gemma":[0.7441615,0.000002816063,0.2556194,0.00006766297,0.0000301113,0.000003496974,3.879336e-7,0.000004636929,0.0001099543],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6915961,"threshold_uncertainty_score":0.2594869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822286698569434,"score_gpt":0.3206331831996562,"score_spread":0.2924103162139619,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}